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May 16, 2025 by Kevin Lee (khlee2)
Viewing outcome relationships between
EECE 699T - Master's Thesis
and
319 - Master of Science in Artificial Intelligence Engineering
Last approved:
Fri, 16 May 2025 20:46:49 GMT
Last edit:
Fri, 16 May 2025 20:46:46 GMT
Program Code
319 - Master of Science in Artificial Intelligence Engineering
Course Code
EECE 699T - Master's Thesis
Learning Outcomes Relationships
PLO 1: Advance and apply their knowledge and analytical skills in artificial intelligence and related computational techniques to the analysis and design of advanced intelligent systems. This outcome emphasizes the ability to deepen understanding and utilize AI principles for sophisticated system development.
PLO 3: Ensure they can communicate their technical ideas and findings effectively through clear written, oral, and visual presentations. This underscores the importance of professional communication in the multidisciplinary AI field.
PLO 5: Be prepared to excel in doctoral programs within artificial intelligence, electronics, computer engineering and science, or closely related disciplines. This indicates the program's rigorous academic standards and its potential to serve as a strong foundation for further academic pursuits.
PLO 6: Demonstrate the ability to identify and formulate precise requirements for complex intelligent systems. This focuses on the critical skill of defining the specific needs for advanced AI systems.
PLO 7: Exhibit the capacity to analyze and prioritize diverse requirements and constraints to determine the essential features of advanced intelligent systems. This emphasizes the ability to make informed decisions in the design process of AI systems.
PLO 8: Possess the skill to design and implement intelligent systems effectively by utilizing appropriate AI and machine learning techniques to meet clearly defined specifications. This outcome focuses on the practical application of AI principles in the creation of functional systems.
PLO 9: Develop the ability to conduct thorough literature research and critically evaluate its impact on addressing challenges in artificial intelligence and related fields. This highlights the importance of staying informed and rigorously assessing existing research in AI.
PLO 10: Demonstrate the aptitude to apply current AI technologies and utilize modern computational tools effectively to solve complex engineering and computational problems. This emphasizes the practical application of contemporary AI tools and techniques in relevant contexts.
PLO 11: Recognize and uphold professional responsibilities and make well-informed judgments in AI practice based on established legal and ethical principles. This highlights the crucial ethical considerations within the development and deployment of AI.
Key: 286